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Importance of wavelet analysis in laser Doppler flowmetry time series.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Importance of wavelet analysis in laser Doppler flowmetry time series. / Bernjak, Alan; Stefanovska, Aneta.
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16. NEW YORK, NY 10017, USA: IEEE, 2007. (IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Bernjak, A & Stefanovska, A 2007, Importance of wavelet analysis in laser Doppler flowmetry time series. in 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16. IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS), IEEE, NEW YORK, NY 10017, USA.

APA

Bernjak, A., & Stefanovska, A. (2007). Importance of wavelet analysis in laser Doppler flowmetry time series. In 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 (IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)). IEEE.

Vancouver

Bernjak A, Stefanovska A. Importance of wavelet analysis in laser Doppler flowmetry time series. In 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16. NEW YORK, NY 10017, USA: IEEE. 2007. (IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)).

Author

Bernjak, Alan ; Stefanovska, Aneta. / Importance of wavelet analysis in laser Doppler flowmetry time series. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16. NEW YORK, NY 10017, USA : IEEE, 2007. (IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)).

Bibtex

@inproceedings{0ff5383ab4e144d4a86f93a9fbaa0a6b,
title = "Importance of wavelet analysis in laser Doppler flowmetry time series.",
abstract = "Spectral analysis of microvascular laser Doppler flowmetry time series is performed to resolve their complex dynamics. The method of analysis should be carefully chosen such that as much information as possible of the signal is obtained. Conventional Fourier transform and short-time Fourier transform are compared with wavelet analysis to resolve several oscillatory components on a wide frequency interval. Wavelet transform with the Morlet mother wavelet is shown to have an advantage of adjustable window length as it detects each frequency with a window of a corresponding length. In this way good localization in time and frequency is provided. Low and high frequencies can be resolved and their variations traced in time. This is of crucial importance in analysis of oscillations in LDF signals and studies of their physiological origin as well as their changes in health and disease.",
author = "Alan Bernjak and Aneta Stefanovska",
year = "2007",
language = "English",
isbn = "978-1-4244-0787-3",
series = "IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)",
publisher = "IEEE",
booktitle = "2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16",

}

RIS

TY - GEN

T1 - Importance of wavelet analysis in laser Doppler flowmetry time series.

AU - Bernjak, Alan

AU - Stefanovska, Aneta

PY - 2007

Y1 - 2007

N2 - Spectral analysis of microvascular laser Doppler flowmetry time series is performed to resolve their complex dynamics. The method of analysis should be carefully chosen such that as much information as possible of the signal is obtained. Conventional Fourier transform and short-time Fourier transform are compared with wavelet analysis to resolve several oscillatory components on a wide frequency interval. Wavelet transform with the Morlet mother wavelet is shown to have an advantage of adjustable window length as it detects each frequency with a window of a corresponding length. In this way good localization in time and frequency is provided. Low and high frequencies can be resolved and their variations traced in time. This is of crucial importance in analysis of oscillations in LDF signals and studies of their physiological origin as well as their changes in health and disease.

AB - Spectral analysis of microvascular laser Doppler flowmetry time series is performed to resolve their complex dynamics. The method of analysis should be carefully chosen such that as much information as possible of the signal is obtained. Conventional Fourier transform and short-time Fourier transform are compared with wavelet analysis to resolve several oscillatory components on a wide frequency interval. Wavelet transform with the Morlet mother wavelet is shown to have an advantage of adjustable window length as it detects each frequency with a window of a corresponding length. In this way good localization in time and frequency is provided. Low and high frequencies can be resolved and their variations traced in time. This is of crucial importance in analysis of oscillations in LDF signals and studies of their physiological origin as well as their changes in health and disease.

M3 - Conference contribution/Paper

SN - 978-1-4244-0787-3

T3 - IEEE Engineering in Medicine and Biology Society Annual Conference (EMBS)

BT - 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16

PB - IEEE

CY - NEW YORK, NY 10017, USA

ER -